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This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA te…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
A collection of algorithms and data structures
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
This repo contains annotated research papers that I found really good and useful
Tensorforce: a TensorFlow library for applied reinforcement learning
An example of time series augmentation methods with Keras
InceptionTime: Finding AlexNet for Time Series Classification
Code Repository for Liquid Time-Constant Networks (LTCs)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
kdb+ production framework. Read the doc: https://dataintellecttech.github.io/TorQ/. Join the group!
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Reading list for research topics in multimodal machine learning
Course to learn the basics of self supervised learning
[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling
Unified Training of Universal Time Series Forecasting Transformers
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Lotus: Characterization of Machine Learning Preprocessing Pipelines via Framework and Hardware Profiling
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
[NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models