QuickLearner171998's Stars
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
mistralai/cookbook
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
ZhangGe6/onnx-modifier
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
sony/model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
impira/docquery
An easy way to extract information from documents
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
tstanislawek/awesome-document-understanding
A curated list of resources for Document Understanding (DU) topic
google/trax
Trax — Deep Learning with Clear Code and Speed
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
NirantK/NLP_Quickbook
NLP in Python with Deep Learning
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
wangshusen/DeepLearning
brianspiering/awesome-dl4nlp
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
dnth/yolov5-deepsparse-blogpost
By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantization aware training, sparse transfer learning, and one-shot quantization. Export the sparsified model and run it using the DeepSparse engine at insane speeds. P/S: The end result - YOLOv5 on CPU at 180+ FPS using on
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
mit-han-lab/tinyml
microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
VainF/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
microsoft/onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
neuralmagic/sparsify
ML model optimization product to accelerate inference.
memoiry/Awesome-model-compression-and-acceleration
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
cedrickchee/awesome-ml-model-compression
Awesome machine learning model compression research papers, tools, and learning material.