Sanyam Lakhanpal's Projects
Answers to 120 commonly asked data science interview questions.
I am using this repository to document my journey learning about DevOps. I began this process on January 1, 2022, and plan to continue until March 31. I will be dedicating one hour each day, including weekends, to gaining a foundational understanding of the various aspects of DevOps. This will be a 90-day intensive study period. 2022 & 2023 inc.
Implementation of a Conditional Variational Auto-Encoder GAN in pytorch
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Python DSL for Argo Workflows | Mirrored to https://github.com/argoproj-labs/argo-python-dsl
AudioLDM: Generate speech, sound effects, music and beyond, with text.
Plugins for Auto-GPT
Automatic architecture search and hyperparameter optimization for PyTorch
Complex question answering in LLMs with enhanced reasoning and information-seeking capabilities.
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
Awesome things you can do with ChatGPT + Code Interpreter combo 🔥
Awesome-LLM: a curated list of Large Language Model
Reading list for research topics in multimodal machine learning
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
A simple prompting approach that enables the LLMs to run inference in batches.
A novel approach for synthesizing tabular data using pretrained large language models
Unifying Generative Autoencoder implementations in Python
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
bert_seq2seq的DDP版本,支持bert、roberta、nezha、t5、gpt2等模型,支持seq2seq、ner、关系抽取等任务,无需添加额外代码,轻松启动DDP多卡训练。
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Accelerated deep learning R&D
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
Python snippets for personal use
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures