vals.ai
Vals AI provides machine-learning models, research, training resources, or evaluation tools.
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github.com
A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
vortic.ai
Vortic provides machine-learning models, research, training resources, or evaluation tools.
voxelbench.ai
VoxelBench provides machine-learning models, research, training resources, or evaluation tools.
We must stop AI replicating the problems of surveillance capitalism provides machine-learning models, research, training resources, or evaluation…
swe-agent.com
Web provides machine-learning models, research, training resources, or evaluation tools.
What ChatGPT and generative AI mean for science Nature provides machine-learning models, research, training resources, or evaluation tools.
willthompson.name
What We Know About LLMs (Primer) provides machine-learning models, research, training resources, or evaluation tools.
axios.com
Where AI evolves from here provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A work-in-progress inpainting branch of Stable Diffusion, published as a public Replicate model. The model runs on Nvidia A100 (80GB) GPU hardware and predictions typically complete within 11 seconds. It costs approximately $0.015 to run on Replicate, or 66 runs per $1. It is open source and can be run on a computer with Docker.
github.com
DeepSeek-V3 is a Mixture-of-Experts language model with 671B total parameters and 37B activated per token. It uses Multi-head Latent Attention and DeepSeekMoE architectures, was pre-trained on 14.8 trillion tokens, and then underwent supervised fine-tuning and reinforcement learning. The repository provides the model weights and inference code.
github.com
DeepSeek-VL2 is a mixture-of-experts vision-language model designed for advanced multimodal understanding. Its public GitHub repository provides documentation including an introduction, release information, model download resources, and a quick start guide.
github.com
Dify is an open-source LLM app development platform with a visual canvas for AI workflows and RAG pipelines, plus model management and observability. It can be deployed on cloud, VPC, or self-hosted, and integrates with proprietary and open-source LLMs.
falconllm.tii.ae
Falcon LLM is described as a generative large language model that supports applications and use cases. The site presents models in the Falcon LLM family, including Falcon-H1 and Falcon-E, and lists Falcon-H1 model insights. It also references Falcon Arabic for Modern Standard Arabic and dialects, and names Falcon-Emirati, Falcon-ASR and Falcon-OCR-Arabic.
github.com
finetuning-scheduler is a PyTorch Lightning extension for foundation model experimentation with flexible fine-tuning schedules. It supports explicit or regex-based parameter selection and implicit schedules for initial model exploration, plus automatic restoration of best per-phase checkpoints using early-stopping criteria for each phase. An experimental API, FTSController, brings the same schedules to a plain PyTorch training loop.
github.com
FLAML is a lightweight Python library from Microsoft for automating machine learning and AI operations. It performs model selection and hyperparameter optimization under resource constraints, including tuning foundation model inference hyperparameters. It requires Python 3.10 or later, is installable via pip, and can be used as a scikit-learn style estimator.
github.com
GLM-130B is an open bilingual pre-trained model with 130 billion parameters, pre-trained using the General Language Model algorithm. It was trained on over 400 billion text tokens, half Chinese and half English. With INT4 quantization, hardware requirements can be reduced to a single server with 4 RTX 3090 (24G) GPUs with almost no performance degradation.
github.com
GPUStack is a GPU cluster manager built for high-performance AI model serving, with support for vLLM and SGLang, and offers on-demand SSH-accessible GPU instances, hosted in the gpustack/gpustack GitHub repository.
guild.ai
Guild is a vendor-neutral control plane for AI agents. It lets engineering teams manage, govern, and share agents in production, with security and observability built in. Features include scoped credentials, action approval, policy enforcement, tracing, and evaluations. It supports any model or framework and provides a shared agent catalog and CLI access.
h2o.ai
H2O AutoML is an open-source automatic machine learning tool developed by H2O.ai. It automatically generates features and selections for model building with no coding required. It is part of the H2O.ai platform, with offerings designed for model builders, data scientists, and enterprise developers.
github.com
Hydrosphere Mist is a serverless proxy for Spark clusters. It offers a functional programming framework and deployment model for Spark applications, with a REST HTTP and messaging API for Scala and Python Spark jobs. Sessions are managed across EMR, Hortonworks, Cloudera, DC/OS and vanilla Spark clusters.