TheUnsolvedDev

TheUnsolvedDev's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python56.8k4591325.8k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.5k3996409.6k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4251701.4k

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k2141811.8k

• ahkarami/Deep-Learning-in-Production

  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

  4.3k1484688

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.1k2399729

• higgsfield-ai/higgsfield

  Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

  Language:Jupyter Notebook3.3k761554

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k7222589

• seungeunrho/minimalRL

  Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

  Language:Python2.9k4940464

• Curt-Park/rainbow-is-all-you-need

  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

  Language:Jupyter Notebook1.9k2732335

• AssemblyAI-Community/Machine-Learning-From-Scratch

  Implementation of popular ML algorithms from scratch

  Language:Python750145236

• cpnota/autonomous-learning-library

  A PyTorch library for building deep reinforcement learning agents.

  Language:Python6462310472

• marload/DeepRL-TensorFlow2

  🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

  Language:Python603198141

• Adi-iitd/AI-Art

  PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

  Language:Python38612972

• MJeremy2017/reinforcement-learning-implementation

  Reinforcement Learning examples implementation and explanation

  Language:Jupyter Notebook3221113246

• anita-hu/TF2-RL

  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

  Language:Python3006468

• HumanCompatibleAI/adversarial-policies

  Find best-response to a fixed policy in multi-agent RL

  Language:Python277142247

• jianzhnie/deep-marl-toolkit

  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

  Language:Python1112613

• marload/DistRL-TensorFlow2

  🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.

  Language:Python67819

• Howuhh/sac-n-jax

  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch

  Language:Python46113

• alessandrositta/Flatland_challenge

  Repository containing the code and explanation of a solution to the Flatland Challenge problem.

  Language:Python8101

• TheUnsolvedDev/CUDA_NN_FS

  This repository features a from-scratch implementation of a neural network using CUDA and C. The primary goal of this project is to leverage CUDA's parallel computing capabilities to significantly accelerate the training and inference processes of neural networks, utilizing the computational power of NVIDIA GPUs.

  Language:Cuda8100

• sharavsambuu/learning-drl

  I'm learning a deep reinforcement learning with jax and flax which is numpy on steroids.

  Language:Python5200

• TheUnsolvedDev/JaxStormer

  Welcome to the JAX Machine Learning Practice repository! This repository contains practice code for implementing various machine learning algorithms using JAX, a numerical computing library that provides automatic differentiation and GPU/TPU acceleration.

  Language:Python5200

• johnMinelli/RL-flatland-challenge

  Multi-agent reinforcement learning problem in flatland environment

  Language:Python3300

• TheUnsolvedDev/ProbabilisticMadness

  Statistics and Machine Learning in depth analysis with Tensorflow Probability

  Language:Python2200

• TheUnsolvedDev/ReinforcementLearning

  Repository containing basic algorithm applied in python.

  Language:Jupyter Notebook2101

• CatLads/RL

  RL algorithms of our Flatland contribution

  Language:Python1300

• pathway/probabilistic-modelling-notebooks

  A collection of Jupyter notebooks on Probabilistic Models.

  Language:Jupyter Notebook1100

• TheUnsolvedDev/PytorchJourney

  Basic Implementation of machine learning and deep learning algorithms in pytorch

  Language:Python1200