Jichen66

Jichen66's Stars

• NxRLab/ModernRobotics

  Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

  Language:Python2k817

• rock-learning/bolero

  Behavior Optimization and Learning for Robots

  Language:C++6429

• dfki-ric/pytransform3d

  3D transformations for Python.

  Language:Python63168

• AlexanderFabisch/distance3d

  Distance computation and collision detection in 3D.

  Language:Python618

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.3k1.1k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.5k1.6k

• jax-ml/jax

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

  Language:Python30.4k2.8k

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.2k1.1k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript28.1k2.8k

• google-research/vision_transformer

  Language:Jupyter Notebook10.4k1.3k

• OverLordGoldDragon/see-rnn

  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

  Language:Python17921

• IntelLabs/AVUC

  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

  Language:Python5312

• SeldonIO/alibi

  Algorithms for explaining machine learning models

  Language:Python2.4k252

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.3k7.6k

• mvaldenegro/keras-uncertainty

  Utilities to perform Uncertainty Quantification on Keras Models

  Language:Python11322

• vrodriguezf/deepvats

  Deep Visual Analytics for Time Series

  Language:Jupyter Notebook224

• cerlymarco/shap-hypetune

  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

  Language:Jupyter Notebook56671

• tslearn-team/tslearn

  The machine learning toolkit for time series analysis in Python

  Language:Python2.9k339

• jacobgil/keras-cam

  Keras implementation of class activation mapping

  Language:Python335106

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k807

• numfocus/YouTubeVideoTimestamps

  Adding timestamps to NumFOCUS and PyData YouTube videos!

  8319

• cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

  Fully Convlutional Neural Networks for state-of-the-art time series classification

  Language:Python677202

• jacobgil/keras-grad-cam

  An implementation of Grad-CAM with keras

  Language:Python658237

• ramprs/grad-cam

  [ICCV 2017] Torch code for Grad-CAM

  Language:Lua1.5k226

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k729

• JakobCode/UncertaintyInNeuralNetworks_Resources

  9712

• hfawaz/dl-4-tsc

  Deep Learning for Time Series Classification

  Language:Python1.6k571

• louisfb01/best_AI_papers_2021

  A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

  2.9k238

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python7.9k1.4k

• ayaabdelsalam91/TS-Interpretability-Benchmark

  Language:Python8516