Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Mloggera lightweight and simple logger for Machine Learning
MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
HypertunityA toolset for black-box hyperparameter optimisation.
Nvidia Gpu Tensor Core Accelerator Pytorch OpencvA complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
HiddenlayerNeural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Deep Learning Training GuiTrain and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
Pytorch BookPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
TfgraphvizA visualization tool to show a TensorFlow's graph like TensorBoard
Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
Tensorboardxtensorboard for pytorch (and chainer, mxnet, numpy, ...)
CrayonA language-agnostic interface to TensorBoard
Tf cnnvisCNN visualization tool in TensorFlow
Bmw Tensorflow Training GuiThis repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Bmw Yolov4 Training AutomationThis repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
Labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
BeholderA TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.
OnepanelThe open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.
Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Pytorch UnetPyTorch implementation of the U-Net for image semantic segmentation with high quality images
TensorboardStandalone TensorBoard for visualizing in deep learning
minetorchBuild deep learning applications in a new and easy way.
DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Deep-LearningStudy and implementation about deep learning models, architectures, applications and frameworks
densenetA PyTorch Implementation of "Densely Connected Convolutional Networks"
deep-scite🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
mloperatorMachine Learning Operator & Controller for Kubernetes
florFLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.
tfsumEnable TensorBoard for TensorFlow Go API
labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
lightning-hydra-templatePyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
tf-matplotlibSeamlessly integrate matplotlib figures as tensorflow summaries.
deepvacPyTorch Project Specification.