PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
- gym
- pybullet
- reinforcement-learning
- control
Repository Index
47,133 repositories indexed
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Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
- self-driving-car
- tensorflow
- reinforcement-learning
- unreal-engine
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
- pytorch
- deep-learning
- generative-adversarial-network
- trajectory-prediction
Implementation of some deep learning algorithms.
Sample applications built using AWS' Amazon Machine Learning.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
- tensorflow
- domain-transfer
- unsupervised-learning
- image-generation
PyTorch to Keras model convertor
- pytorch
- keras-model-convertor
- keras
- tensorflow
Deep Pink is a chess AI that learns to play chess using deep learning.
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
- convolutional-neural-networks
- deep-learning
- speaker-recognition
- 3d
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
BLEURT is a metric for Natural Language Generation based on transfer learning.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
Library for exploring and validating machine learning data
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
A machine learning tool that ranks strings based on their relevance for malware analysis.
- machine-learning
- fireeye-flare
- strings
- malware-analysis
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Learning to Recover from LLM Agent Failures at Test Time
[ICRA] Crowd-aware Robot Navigation
- reinforcement-learning
- crowd-navigation
- collision-avoidance
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance