ssuwelack

ssuwelack's Stars

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.2k38621.2k

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k14381k

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.7k7421k

• khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists

  Efficient Python Tricks and Tools for Data Scientists

  Language:Jupyter Notebook1.4k3665370

• Renumics/spotlight

  Interactively explore unstructured datasets from your dataframe.

  Language:TypeScript1.1k199283

• kennethleungty/Failed-ML

  Compilation of high-profile real-world examples of failed machine learning projects

  71219046

• weijiaheng/Advances-in-Label-Noise-Learning

  A curated (most recent) list of resources for Learning with Noisy Labels

  67316158

• ChenghaoMou/text-dedup

  All-in-one text de-duplication

  Language:Python61246871

• mitmul/deeppose

  DeepPose implementation in Chainer

  Language:Python4083239129

• israelg99/deepvoice

  Deep Voice: Real-time Neural Text-to-Speech

  Language:Python36044694

• calculix/CalculiX-Examples

  CalculiX examples by Prof. Martin Kraska from Brandenburg University of Applied Sciences. Excellent starting point to master parametric modelling with CGX and CCX.

  Language:Python309355596

• merantix-momentum/squirrel-core

  A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

  Language:Python28215138

• mohitzsh/Adversarial-Semisupervised-Semantic-Segmentation

  Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

  Language:Python1556645

• lppllppl920/EndoscopyDepthEstimation-Pytorch

  Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

  Language:Python13073728

• yifding/hetseq

  HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

  Language:Python1056414

• Ashton-Sidhu/aethos

  Automated Data Science and Machine Learning library to optimize workflow.

  Language:Python1048318

• mertyg/debug-mistakes-cce

  Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022

  Language:Python75847

• edufonseca/FSD50K_baseline

  Baseline systems for the FSD50K dataset

  671034

• roysubhankar/dwt-domain-adaptation

  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)

  Language:Python645319

• nicolay-r/AREkit

  Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML

  Language:Python5865073

• samuelrince/awesome-green-ai

  A curated list of awesome Green AI resources and tools to reduce the environmental impacts of using and deploying AI.

  44414

• GilgameshD/GRADER

  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning"

  Language:Python30215

• Renumics/awesome-anything2vec

  Easy-to-use self-supervised representation learning for industrial AI

  25621

• SarthakYadav/fsd50k-pytorch

  Unofficial implementation of FSD50k baselines for Sound Event Recognition

  Language:Python22526

• TeodorChiaburu/beexplainable

  XAI Experiments on an Annotated Dataset of Wild Bee Images

  Language:HTML16201

• Renumics/mesh2vec

  Turn CAE mesh data => aggregated element feature vectors for ML

  Language:Python12302

• kaushal-py/seg-degan

  Data-free Knowledge Distillation for Segmentation using Data-enriching GAN

  Language:Python8001

• erkara/Rise-of-Transfer-Learning

  you will find brief code implementations of some of the latest developments in AI, including Stable Diffusion, Whisper, YOLO and HuggigFace Transformers

  Language:Jupyter Notebook4200

• ricardokleinklein/audio_attention

  Dataset, example models and demostration of our Interspeech 2019 paper

  Language:Python3200

• rmeertens/Data-centric-AI-vector-selection

  Language:Jupyter Notebook210