asiffiiqbal's Stars
zbai/MATLAB-Groves
Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
BrianPulfer/PapersReimplementations
Personal short implementations of Machine Learning papers
cure-lab/Awesome-time-series
A comprehensive survey on the time series domains
MIT-SPARK/Kimera-Multi
Index repo for Kimera-Multi system
google-research/vision_transformer
SwinTransformer/Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
hxu296/leetcode-company-wise-problems-2022
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
keineahnung2345/leetcode-cpp-practices
Including problem statement, solution, runtime and complexity analysis.
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
yahoo-finance/yahoo-finance
Python module to get stock data from Yahoo! Finance
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
Wookai/paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
google-deepmind/streetlearn
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
arrenglover/openfabmap
Open-source C++ code for the FAB-MAP visual place recognition algorithm
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
lcswillems/rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Nasdin/ReinforcementLearning-AtariGame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
dxyang/DQN_pytorch
Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
hengyuan-hu/rainbow
A PyTorch implementation of Rainbow DQN agent
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
zanilzanzan/FuseNet_PyTorch
Joint scene classification and semantic segmentation with FuseNet