chernyshov-dp's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
django/django
The Web framework for perfectionists with deadlines.
keras-team/keras
Deep Learning for humans
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
vlang/v
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
nim-lang/Nim
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
yabwe/medium-editor
Medium.com WYSIWYG editor clone. Uses contenteditable API to implement a rich text solution.
questdb/questdb
QuestDB is an open source time-series database for fast ingest and SQL queries
lowlighter/metrics
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Yorko/mlcourse.ai
Open Machine Learning Course
pycaret/pycaret
An open-source, low-code machine learning library in Python
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
lucidrains/DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
ai-forever/Kandinsky-2
Kandinsky 2 — multilingual text2image latent diffusion model
Stability-AI/stable-audio-tools
Generative models for conditional audio generation
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
FarGroup/FarManager
File and Archive Manager
demidovakatya/vvedenie-mashinnoe-obuchenie
:memo: Подборка ресурсов по машинному обучению
tsoding/pinpog
Ping-Pong-like game in Assembly that works without OS
derekbanas/Python4Finance
I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.
Dyakonov/DL
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
dkobak/excess-mortality
Excess mortality during COVID-19 pandemic
dvornikov-d-a/SciPA