Akhilez's Stars
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
viblo/pymunk
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
danijar/crafter-baselines
Docker containers of baseline agents for the Crafter environment
danijar/crafter
Benchmarking the Spectrum of Agent Capabilities
vibrationtoolbox/vibration_toolbox
Educational Vibration programs. Intended for undergraduate and early graduate students.
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
uc-cdis/covid19-tools
DuaneNielsen/lightning_demo
pytorch lightning demo
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
with-heart/with-heart.xyz
My personal weblog
asteroid-team/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
iver56/audiomentations
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
aqlaboratory/openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
denfed/wave-spec-fusion
Code for the submitted 2021 DCASE Workshop paper: "Waveforms and Spectrograms: Enhancing Acoustic Scene Classification Using Multimodal Feature Fusion"
Jarvis73/Moving-Least-Squares
Numpy & PyTorch implementation of three algorithms of image deformation using moving least squares. http://dl.acm.org/citation.cfm?doid=1179352.1141920
PooneetThaper/ImageDeformation
Basic Implementation of Image Deformation using Moving Least Squares, Schaefer et. al.
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
xiamenwcy/IrisParseNet
[TIFS 2020]Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition
google-deepmind/xmanager
A platform for managing machine learning experiments
facebookresearch/minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
karims/awesome-ml-survey-papers
List of curated survey papers in machine/deep learning
imbue-ai/jupyter_ascending
Ascend your Jupyter Notebook usage
imbue-ai/self_supervised
A Pytorch-Lightning implementation of self-supervised algorithms
rafaelpadilla/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
abhishekkrthakur/tez
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.