Beast code in Giters

Michał Giemza's starred repositories

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Language:PythonNOASSERTION264569 6615 293

An Open Source Machine Learning Framework for Everyone

Language:C++Apache-2.0184144 7618 39502

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Language:PythonMIT19477 254 72

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Language:PythonNOASSERTION3090 57 262

Language:C#NOASSERTION1457 341 39

Deep Compression on AlexNet

Language:PythonBSD-2-Clause652 510

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Language:PythonApache-2.0539 13 75

COMS W4995 Applied Machine Learning - Spring 20

Language:Jupyter NotebookCC0-1.0243 17 3

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Language:PythonAGPL-3.0222 12 30

ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt

Language:Python187 3 13

Language:PythonMIT105 7 6

Open-source library for a reinforcement learning research.

Language:PythonMIT54 50

A Pytorch Implementation of the Beta-VAE

Language:Python40 2 2

Language:Python20 20

Article: How to make Machine Learning safer and more stable? Introduction to ML Robustness

Language:Python4 10

The Synthetic Boosted method demonstrates how to use synthetic data to enrich more profound the implicit language model in speech recognition.

Language:TeX200