Sujit Nalawade's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
awesome-modern-cpp
A collection of resources on modern C++
docker-minecraft-server
Docker image that provides a Minecraft Server that will automatically download selected version at startup
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
cuda-api-wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
Multi-Agent-Reinforcement-Learning-Environment
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Motionformer
Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers
DSFD-Pytorch-Inference
A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
rl-colab-notebooks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
Reinforcement-Learning-Algorithms-with-Python
Reinforcement Learning Algorithms with Python, Published by Packt
Face-Recognition
Face Recognition using pre-trained model built-on Arcface was implemented on Pytorch.