DanielCoelho112

DanielCoelho112's Stars

• OpenDriveLab/End-to-end-Autonomous-Driving

  [IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

  2.5k242

• google-deepmind/alphadev

  Language:Python69873

• opendilab/awesome-end-to-end-autonomous-driving

  A curated list of awesome End-to-End Autonomous Driving resources (continually updated)

  40219

• OpenDriveLab/ThinkTwice

  [CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.

  Language:Python21921

• OpenDriveLab/Openpilot-Deepdive

  Our insights of Openpilot, a deepdive project on it

  Language:Python24067

• twni2016/pomdp-baselines

  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

  Language:Python31042

• modularml/mojo

  The Mojo Programming Language

  Language:Mojo23.5k2.6k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.4k2.7k

• eloialonso/iris

  Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

  Language:Python81482

• clovaai/donut

  Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

  Language:Python5.9k480

• facebookresearch/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.

  Language:Jupyter Notebook48.3k5.7k

• learn-to-race/l2r

  Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

  Language:Python15015

• RajGhugare19/dreamerv2

  Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

  Language:Python24641

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k5.7k

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.9k2.8k

• yudasong/HyQ

  Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.

  Language:Python243

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k8k

• wayveai/fiery

  PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

  Language:Python56284

• SysCV/TrafficBots

  TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. Code is now available at https://github.com/zhejz/TrafficBots

  522

• lucidrains/lion-pytorch

  🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

  Language:Python2.1k52

• adityabingi/Dreamer

  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite

  Language:Python327

• NM512/dreamerv3-torch

  Implementation of Dreamer v3 in pytorch.

  Language:Python450101

• danijar/dreamerv3

  Mastering Diverse Domains through World Models

  Language:Python1.4k236

• facebookresearch/modem

  MoDem Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

  Language:Python869

• danijar/dreamer

  Dream to Control: Learning Behaviors by Latent Imagination

  Language:Python519110

• TakuyaHiraoka/Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning

  Source files to replicate experiments in my ICLR 2022 paper.

  Language:Python673

• ikostrikov/walk_in_the_park

  Language:Python24934

• opendilab/awesome-decision-transformer

  A curated list of Decision Transformer resources (continually updated)

  73631

• facebookresearch/deep_bisim4control

  Learning Invariant Representations for Reinforcement Learning without Reconstruction

  Language:Python14637

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.7k4.8k