csetraynor

csetraynor's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.2k27.1k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k2.7k7.3k45.8k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k6458504.9k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.2k2661.4k6.8k

• tensorflow/examples

  TensorFlow examples

  Language:Jupyter Notebook8k25907.4k

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k14981.1k

• nextflow-io/nextflow

  A DSL for data-driven computational pipelines

  Language:Groovy2.8k893.3k632

• ipython/ipyparallel

  IPython Parallel: Interactive Parallel Computing in Python

  Language:Jupyter Notebook2.6k1233631k

• PennyLaneAI/pennylane

  PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

  Language:Python2.4k471.3k605

• snakemake/snakemake

  This is the development home of the workflow management system Snakemake. For general information, see

  Language:HTML2.3k191.8k556

• aws/sagemaker-python-sdk

  A library for training and deploying machine learning models on Amazon SageMaker

  Language:Python2.1k1371.5k1.1k

• tensorflow/addons

  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

  Language:Python1.7k57979612

• jaanli/variational-autoencoder

  Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

  Language:Python1.2k3326256

• curiousily/Deep-Learning-For-Hackers

  Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

  Language:Jupyter Notebook1k3510440

• yell/boltzmann-machines

  Boltzmann Machines in TensorFlow with examples

  Language:Jupyter Notebook8493514135

• nextflow-io/awesome-nextflow

  A curated list of nextflow based pipelines

  57233290

• PySlurm/pyslurm

  Python Interface to Slurm

  Language:Cython49223178120

• dennybritz/tf-rnn

  Practical Examples for RNNs in Tensorflow

  Language:Jupyter Notebook485233160

• nextflow-io/patterns

  A curated collection of Nextflow implementation patterns

  Language:Nextflow334252070

• ymym3412/acl-papers

  paper summary of Association for Computational Linguistics

  1843757810

• aws-samples/amazon-sagemaker-script-mode

  Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

  Language:Jupyter Notebook1712617101

• ioanabica/Time-Series-Deconfounder

  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar

  Language:Python513114

• rcamino/multi-categorical-gans

  Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"

  Language:Python494414

• mskcc/facets-suite

  Utility functions for FACETS

  Language:R34733825

• rcamino/imputation-dgm

  Code for the paper "Improving Missing Data Imputation with Deep Generative Models"

  Language:Python32325

• mclements/rstpm2

  An R package for generalised survival models

  Language:R2883211

• lpantano/DEGreport

  Create a cromphensive report of DEG list coming from any analysis of RNAseq data

  Language:R2455516

• certara/survivalnma

  R interface for popular survival network meta-analysis models (requires WinBUGS)

  Language:R12545

• rcamino/deep-generative-models

  Deep Generative Models

  Language:Python3104

• lingxuez/DBM

  Deep Boltzmann Machine

  Language:Python2200