speediedan

speediedan's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.6k1.9k1409.1k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.4k4481325.6k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k2k23314.9k

• google/styleguide

  Style guides for Google-originated open-source projects

  Language:HTML37.3k1.3k33513.3k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.6k1.3k1013.6k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.5k6531858.6k

• 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:Python17k1363.5k1.9k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.6k1.2k183.6k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.4k4661.2k3.5k

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k5441104.2k

• google/seq2seq

  A general-purpose encoder-decoder framework for Tensorflow

  Language:Python5.6k2442781.3k

• nashory/gans-awesome-applications

  Curated list of awesome GAN applications and demo

  5k20715809

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1382041.1k

• MrGemy95/Tensorflow-Project-Template

  A best practice for tensorflow project template architecture.

  Language:Python3.6k15220816

• allenai/bilm-tf

  Tensorflow implementation of contextualized word representations from bi-directional language models

  Language:Python1.6k68207452

• the-full-stack/fsdl-text-recognizer-project

  Lab materials for the Full Stack Deep Learning Course

  Language:Jupyter Notebook1.2k5818427

• hindupuravinash/nips2017

  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

  891803194

• ankurtaly/Integrated-Gradients

  Attributing predictions made by the Inception network using the Integrated Gradients method

  Language:Jupyter Notebook595111699

• Amin-Tgz/awesome-tensorflow-2

  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

  526260104

• tensorflow/lattice

  Lattice methods in TensorFlow

  Language:Python518376094

• astrumai/DeepLearningWithTF2.0

  Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

  Language:Jupyter Notebook29625399

• speediedan/finetuning-scheduler

  A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

  Language:Python603124

• martialblog/word_embedding_storage

  Storage and retrieval of Word Embeddings in various databases

  Language:Jupyter Notebook51467

• TalSchuster/TokenMasker

  Masking tokens to modify the predictions of a pretrained sentence classifier

  Language:Python16313

• speediedan/covid19

  A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.

  Language:Python10301

• zerotodeeplearning/tf2_keras

  Repository for the talk: Tensorflow 2.0 and Keras: what's new, what's shared, what's different

  Language:Jupyter Notebook9308

• speediedan/deep_classiflie

  Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"

  Language:Python35780

• conda-forge/finetuning-scheduler-feedstock

  A conda-smithy repository for finetuning-scheduler.

  2712

• speediedan/deep_classiflie_db

  Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its analytical and dataset generation functionality but the data system is currently maintained as a separate repository here to maximize architectural flexibility. Depending on how Deep Classiflie evolves (e.g. as it supports distributed data stores etc.), it may make more sense to integrate deep_classiflie_db back into deep_classiflie. Currently, deep_classiflie_db releases are synchronized to deep_classiflie releases. To learn more, visit deepclassiflie.org.

  Language:Jupyter Notebook12560

• speediedan/finetuning-scheduler-feedstock

  A conda-smithy repository for finetuning-scheduler.

  1100