1173 Open source projects that are alternatives of or similar to Color Accessibility Neural Network Deeplearnjs

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Stochastic Delta Rule implemented in Pytorch on DenseNet

A general, modular, and programmable architecture search framework

a delightful machine learning tool that allows you to train, test, and use models without writing code

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Plain python implementations of basic machine learning algorithms

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Accelerate Neural Net Training by Progressively Freezing Layers

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

Deep learning codes and projects using Python

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Tools for PyTorch

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Scala Library/REPL for Machine Learning Research

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

A curated list of GAN & Deepfake papers and repositories.

To classify video into various classes using keras library with tensorflow as back-end.

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Train an RL agent to localize actively (PyTorch)

A classified list of meta learning papers based on realm.

Hummingbird compiles trained ML models into tensor computation for faster inference.

Train and visualize Hierarchical Attention Networks

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Arm Machine Learning tutorials and examples

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Face identification with CNN + TPE using Keras

HDLTex: Hierarchical Deep Learning for Text Classification

Binary and Categorical Focal loss implementation in Keras.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Minimalist implementation of VQ-VAE in Pytorch

CardIO is a library for data science research of heart signals

A TensorFlow & Deep Learning online course I taught in 2016

My personal notes, presentations, and notebooks on everything Deep Learning.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

This is a list of awesome articles about object detection from video.

Understanding emotions from audio files using neural networks and multiple datasets.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Learn OpenCV : C++ and Python Examples

Aspect Based Sentiment Analysis using End-to-End Memory Networks

Various ML/DL Resources organised at a single place.

Tunable U-Net implementation in PyTorch

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

oneAPI Deep Neural Network Library (oneDNN)

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

Modeltime unlocks time series forecast models and machine learning in one framework

OneFlow is a performance-centered and open-source deep learning framework.

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

A High-Quality Real Time Upscaler for Anime Video

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series