nikogamulin

nikogamulin's Stars

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python35.8k5084755.9k

• tldraw/tldraw

  whiteboard / infinite canvas SDK

  Language:TypeScript35.6k1531.2k2.2k

• RasaHQ/rasa

  💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  Language:Python18.9k3556.6k4.6k

• deepset-ai/haystack

  :mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python17.4k1413.5k1.9k

• hoffstadt/DearPyGui

  Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

  Language:C++13.2k1571.4k685

• mikel-brostrom/boxmot

  BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

  Language:Python6.7k601.1k1.7k

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k134882.2k

• joerick/pyinstrument

  🚴 Call stack profiler for Python. Shows you why your code is slow!

  Language:Python6.6k53164231

• axa-group/Parsr

  Transforms PDF, Documents and Images into Enriched Structured Data

  Language:JavaScript5.8k81163310

• elyase/awesome-gpt3

  4.6k16319357

• Tianxiaomo/pytorch-YOLOv4

  PyTorch ,ONNX and TensorRT implementation of YOLOv4

  Language:Python4.5k525051.5k

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k22422445

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.9k601001.2k

• jorisschellekens/borb

  borb is a library for reading, creating and manipulating PDF files in python.

  Language:Python3.4k34196147

• shreyashankar/gpt3-sandbox

  The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

  Language:JavaScript2.9k10835882

• WongKinYiu/yolor

  implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

  Language:Python2k32276518

• nschloe/tiptop

  :desktop_computer: Command-line system monitoring

  Language:Python1.8k144469

• dair-ai/Transformers-Recipe

  🧠 A study guide to learn about Transformers

  1.5k311144

• compphoto/BoostingMonocularDepth

  Language:Python1.5k2960203

• theAIGuysCode/yolov4-deepsort

  Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

  Language:Python1.3k15153753

• aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3

  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

  Language:Jupyter Notebook8344835255

• chrieke/InstanceSegmentation_Sentinel2

  🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

  Language:Jupyter Notebook3911514121

• Shivanandroy/simpleT5

  simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

  Language:Python38774962

• aporia-ai/mlnotify

  🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

  Language:Vue34451319

• terran-project/terran

  A human perception library

  Language:Python122814

• khdlr/HED-UNet

  Simultaneous Semantic Segmentation and Edge Detection

  Language:Python914184

• Kazuhito00/YOLOX-Colaboratory-Training-Sample

  YOLOXをGoogle Colaboratory上で訓練しONNX、TensorFlow-Lite形式のファイルをエクスポートするサンプル(This is a sample to train YOLOX on Google Colaboratory and export a file in ONNX format)

  Language:Python51379

• poppinace/tasselnetv2plus

  (Front Plant Sci'20) TasselNetv2+: A Fast Implementation for High-Throughput Plant Counting from High-Resolution RGB Imagery

  Language:Python492315

• stanleyjzheng/PyData-Pseudolabelling-Keynote

  Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

  Language:Jupyter Notebook27107

• virtualspark/time2vec_ethereum

  Language:Jupyter Notebook9101