All Projects → Cs231 → Similar Projects or Alternatives

6682 Open source projects that are alternatives of or similar to Cs231

Computervision Recipes
Best Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+2491.17%)
Machine Learning From Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-86.75%)
Accurate Binary Convolution Network
Binary Convolution Network for faster real-time processing in ASICs
Stars: ✭ 49 (-84.54%)
Keras model compression
Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
Stars: ✭ 59 (-81.39%)
Audio classification
CNN 1D vs 2D audio classification
Stars: ✭ 65 (-79.5%)
Bipropagation
Stars: ✭ 41 (-87.07%)
Cnn Interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-78.55%)
Equivariant Transformers
Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
Stars: ✭ 68 (-78.55%)
Math And Ml Notes
Books, papers and links to latest research in ML/AI
Stars: ✭ 76 (-76.03%)
Lovaszsoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Stars: ✭ 1,148 (+262.15%)
Breast Cancer Classification
Breast Cancer Classification using CNN and transfer learning
Stars: ✭ 86 (-72.87%)
Knet.jl
Koç University deep learning framework.
Stars: ✭ 1,260 (+297.48%)
Bottom Up Attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+211.99%)
Pytorchnlpbook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+338.49%)
Pytorch exercises
Stars: ✭ 304 (-4.1%)
Cs231n Convolutional Neural Networks Solutions
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Stars: ✭ 110 (-65.3%)
Codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+334.7%)
Keras transfer cifar10
Object classification with CIFAR-10 using transfer learning
Stars: ✭ 120 (-62.15%)
A Nice Mc
Code for "A-NICE-MC: Adversarial Training for MCMC"
Stars: ✭ 115 (-63.72%)
Pytorch Model Zoo
A collection of deep learning models implemented in PyTorch
Stars: ✭ 125 (-60.57%)
Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Stars: ✭ 1,357 (+328.08%)
Pytorch 101 Tutorial Series
PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
Stars: ✭ 136 (-57.1%)
Deep Learning With Python
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-57.73%)
Image classifier
CNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-56.15%)
Hep ml
Machine Learning for High Energy Physics.
Stars: ✭ 133 (-58.04%)
100daysofmlcode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-53.94%)
Lacmus
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (-55.21%)
Cs224n Winter Together
an Open Course Platform for Stanford CS224n (2020 Winter)
Stars: ✭ 374 (+17.98%)
Mutual labels:  stanford, neural-networks
Stanford Cs229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
Stars: ✭ 151 (-52.37%)
Mutual labels:  stanford, jupyter-notebook
Fixy
Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
Stars: ✭ 165 (-47.95%)
Cs231n
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Stars: ✭ 162 (-48.9%)
2048 Deep Reinforcement Learning
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
Stars: ✭ 169 (-46.69%)
Knowledge Distillation Keras
A machine learning experiment
Stars: ✭ 160 (-49.53%)
Lstm anomaly thesis
Anomaly detection for temporal data using LSTMs
Stars: ✭ 178 (-43.85%)
Attentionn
All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Stars: ✭ 175 (-44.79%)
Place Recognition Using Autoencoders And Nn
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Stars: ✭ 256 (-19.24%)
Graph Based Deep Learning Literature
links to conference publications in graph-based deep learning
Stars: ✭ 3,428 (+981.39%)
Deeplearning.ai Notes
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Stars: ✭ 262 (-17.35%)
Zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (+943.22%)
Image To 3d Bbox
Build a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (-36.91%)
Traffic Sign Detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-36.91%)
Style transfer
CNN image style transfer 🎨.
Stars: ✭ 210 (-33.75%)
Radio
RadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-37.54%)
Tcdf
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (-31.55%)
Tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-35.65%)
Triplet Attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (-29.97%)
Deep Viz Keras
Implementations of some popular Saliency Maps in Keras
Stars: ✭ 154 (-51.42%)
Deeppicar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Stars: ✭ 242 (-23.66%)
Nn
🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+1704.42%)
Stanford Cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
Stars: ✭ 503 (+58.68%)
Mutual labels:  stanford, jupyter-notebook
Tensorflow 101
TensorFlow Tutorials
Stars: ✭ 2,565 (+709.15%)
Netket
Machine learning algorithms for many-body quantum systems
Stars: ✭ 256 (-19.24%)
CS231n
CS231n Assignments Solutions - Spring 2020
Stars: ✭ 48 (-84.86%)
Mutual labels:  stanford, image-captioning
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-27.44%)
Grad Cam Tensorflow
tensorflow implementation of Grad-CAM (CNN visualization)
Stars: ✭ 261 (-17.67%)
Pytorch Image Classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (-14.2%)
Image Captioning
Image Captioning using InceptionV3 and beam search
Stars: ✭ 290 (-8.52%)
Keras Faster Rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Stars: ✭ 28 (-91.17%)
Pytorch Question Answering
Important paper implementations for Question Answering using PyTorch
Stars: ✭ 154 (-51.42%)
Mydatascienceportfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-28.39%)
61-120 of 6682 similar projects